The 1st GenBench workshop (genbench.org/workshop) is calling for work on generalisation in NLP! Submit your paper to the regular track, or submit your data + paper to our 💥collaborative benchmarking task (CBT)💥 before September 1. Will we see you at #EMNLP2023? 1/7

The Collaborative Benchmarking Task is now accepting submissions🚀 github.com/GenBench/genbe…! The CBT is hosted by the 1st GenBench workshop (genbench.org/workshop), to be held at #EMNLP2023 on December 6! A recap of our CfP: 1/3

Do you have your ARR reviews ready, and do you want to commit your paper on generalisation in NLP to a venue? 😀 Consider GenBench!! The commitment deadline is October 1st; stay tuned for submission instructions. (genbench.org/workshop/) #EMNLP2023 #NLProc

On October 3rd (next Tuesday), I’ll share some insights at NLP Zurich on how we at @textshuttle built machine translation systems from and into Swiss German. Pass by if you’re interested, it's free! :) Registration link: meetup.com/nlp-zurich/eve…

The heretofore silent majority of AI scientists and engineers who - do not believe in AI extinction scenarios or - believe we have agency in making AI powerful, reliable, and safe and - think the best way to do so is through open source AI platforms NEED TO SPEAK UP !

I’m extremely proud to share that our paper on generalization in NLP got published at Nature Machine Intelligence today! Thanks to my great collaborators at GenBench

Ever wondered how reliable existing MT evaluation metrics are for non-standardised dialects such as Swiss German? Take a look at our newest paper (arxiv.org/abs/2311.16865) for a deep-dive into the problems and possible solutions!

Turns out that high-quality finetuning examples in only 3 languages are enough to elicit convincing performance of popular LLMs in many more languages! Read about the details in our newest preprint: arxiv.org/abs/2312.12683 -- a result of Tannon Kew's internship at @textshuttle.

New resources for Swiss German dialect: We release 4 text encoder models trained on written Swiss German. • Blogpost: vamvas.ch/swiss-german-e… All the models are up on the Hugging Face hub, ready to be downloaded and used: hf.co/models?author=…

I am still looking for PhD students starting in September 2024! The deadline to apply for the CDT in NLP is the 11th of March. If you wish to do research in modular and efficient LLMs, here are some highlights of my lab's research from the past year ⬇️🧵

The GenBench workshop is back! Do you work on generalisation (benchmarking) in #NLProc? Submit to the 2nd edition (genbench.org/workshop/) co-located with #EMNLP2024. We have a regular track and a ✨collaborative benchmarking task (CBT)✨ that's fully LLM-focused this year (1/6)

Join us in Zurich to get the latest insights on trends and developments in Generative AI. Hear from industry experts Florian Schottmann, Hans Ramsl, and Bartosz Baranowski. Space is limited—secure your spot today: …ive-ai-innovators-zurich.wandb.events

If you're at #EMNLP2024 in Miami 🌴 and interested in turning English-centric LLMs into polyglots, come talk to me at 14:00 in Poster Session B (Riverfront Hall), where I'll be presenting our work with Rico Sennrich and Florian Schottmann from @textshuttle! 📄 aclanthology.org/2024.findings-…

People have too inflated sense of what it means to "ask an AI" about something. The AI are language models trained basically by imitation on data from human labelers. Instead of the mysticism of "asking an AI", think of it more as "asking the average data labeler" on the

I've recently been fascinated by tokenization, a research area in NLP where I still think there's lots of headway! In an effort to encourage research, I made a small tokenizer eval suite (intrinsic metrics) with some features I found missing elsewhere: github.com/cimeister/toke…